Los Angeles Metropolitan Area
Data analyst with a background in healthcare software and a bachelor's in biomedical engineering. As a former solutions architect, I have both strong analytical reasoning and communication skills. I look for opportunities to take the initiative and anticipate/resolve problems before they develop. Having recently changed careers, I am now focused on developing and expanding my skills in data analytics.
- Contracted out to a client in the healthcare industry - Developed and/or supported over 15 Tableau dashboards that communicated important metrics to various stakeholders in several functional areas - Created custom SQL queries to pull metrics to evaluate the effectiveness of a pilot program that allows members to directly chat with customer service representatives (CSRs) - Extracted information from free-text fields using Python-based Natural Language Processing (NLP) algorithms and techniques such as topic modeling and sentiment analysis - Applied various machine learning models (classification, survival analysis) to learn the characteristics of members that are more likely to call - Analyzed and modified data sources using Alteryx to derive insights and create data sources that can be used for predictive modeling or data visualization
Attended a 12 week, 420+ hour full-time bootcamp with General Assembly to gain the knowledge and skills to transition into a data science-related career. Classification model with NLP to learn about Andrew Yang supporters on Reddit - Scraped 3.5 million comments posted by Yang and non-Yang supporters from over 18,000 subreddits - Transformed data in preparation for modeling using feature engineering and natural language processing - Identified topics that were strongly associated with Yang supporters using a logistic regression classifier - Achieved a recall score of .6944 by using SMOTE to address the class imbalance in the dataset - Utilized Latent Dirichlet Allocation to identify the political topics that Yang supporters were discussing Real-time road closure mapping - Worked in a group project to obtain and plot real-time road closure information to assist first responders in a hypothetical natural disaster scenario - Obtained real-time road closure information through integration with the Twitter API (via the Tweepy library) and the Here.com API - Called on Google’s Gmaps API to plot these road closures onto an interactive Google map - Built a Flask app to collect a user-specified location and translate it to geo-coordinates which were used to center our road closure searches and output map Regression model to predict home sale prices in Ames, IA - Explored a Kaggle dataset of home sales from 2006 to 2010 provided by the Ames’s Assessor’s office - Used feature engineering and exploratory data analysis to combine and eliminate columns in the dataset - Evaluated a number of models using linear regression and LASSO or Ridge regularization - Developed a model that was able to predict housing prices with an R^2 score of .902
• Delivered custom software solutions and workflow changes to clients through deep understanding of customer requirements combined with technical product expertise of Epic software • Collaborated with other teams to deliver integrated solutions by understanding the integration points between multiple applications and the role of each team in the overall workflow • Utilized analytical thinking to resolve issues brought up through weekly meetings, ad-hoc calls, online ticket systems, and daily emails/instant messages • Effectively managed competing priorities from multiple stakeholders while maintaining high levels of customer satisfaction • Developed trusting relationships with clients through in-person meetings and remote/online support • Translated complex technical communications into easy-to-understand customer-facing language
• Utilized critical thinking to troubleshoot and resolve a wide variety of software issues identified by end-users • Supported up to six customers with daily phone calls and online meetings to help solve issues • Successfully managed lists of 10 to 30 issues for multiple customers concurrently • Developed code to meet specific needs communicated by the customer • Assisted project managers at multiple customer sites to coordinate the transition to ICD-10 (new diagnosis code system resulting in large scale workflow changes for most hospital systems) • Mentored new hires by teaching troubleshooting techniques and offering suggestions on specific issues • Successfully transitioned seven new hires onto customers with daily/weekly meetings and customer calls to develop their technical service skills and build their relationships with the client
• Team conducted a research project to identify if autophagy-deficient mice displayed secretory cell defects • Individually analyzed results and images, summarized conclusions in an abstract and scientific poster • Presented results at the school-wide undergraduate research symposium • Worked with mentor to write and submit a grant proposal that garnered $4000 of funding from the Howard Hughes Medical Institute